Taga G
Department of Pure and Applied Sciences, University of Tokyo, Japan.
Biol Cybern. 1995 Jul;73(2):97-111. doi: 10.1007/BF00204048.
The generation of human locomotion was examined by linking computational neuroscience with biomechanics from the perspective of nonlinear dynamical theory. We constructed a model of human locomotion, which includes a musculo-skeletal system with 8 segments and 20 muscles, a neural rhythm generator composed of 7 pairs of neural oscillators, and mechanisms for processing and transporting sensory and motor signals. Using a computer simulation, we found that locomotion emerged as a stable limit cycle that was generated by the global entrainment between the musculo-skeletal system, the neural system, and the environment. Moreover, the walking movements of the model could be compared quantitatively with those of experimental studies in humans.
从非线性动力学理论的角度，通过将计算神经科学与生物力学相结合，对人类运动的产生进行了研究。我们构建了一个人类运动模型，该模型包括一个具有8个节段和20块肌肉的肌肉骨骼系统、一个由7对神经振荡器组成的神经节律发生器，以及用于处理和传输感觉与运动信号的机制。通过计算机模拟，我们发现运动作为一种稳定的极限环出现，它是由肌肉骨骼系统、神经系统和环境之间的全局同步所产生的。此外，该模型的步行运动可以与人类实验研究的运动进行定量比较。
